Rand Hindi is the CEO of Zama, a company working on fully homomorphic encryption. He says he started coding when he was 10 years old and has always been interested in privacy. Hint: "When I got into machine learning 15 years ago, it was clear to me that we're going to need more and more data"
In this week’s episode, Anna revisits the topic of FHE with Rand Hindi, CEO at Zama. FHE stands for Fully Homomorphic Encryption, a cryptosystem that allows for computation to occur on encrypted inputs.
They discuss the FHE landscape, what specific use cases it is ideal for, where the technology is at and how FHE differs from MPC and ZK. They also explore some of the nuances of the different types of approaches to FHE to achieve this cryptographic environment where one can do computation in a truly private manner.
Here are some additional links for this episode:
ZK Jobs Board – has a fresh batch of open roles from ZK-focused projects. Find your next opportunity working in ZK!
Check out the Sub0 Event from the Web3 Foundation to explore the latest in Polkadot Network and the Substrate blockchain framework.
Today's episode is sponsored by Anoma.
Anoma is a set of protocols that enable self sovereign coordination.
Anoma's first fractal instance Namada is planned for later in 2022, and it focuses on enabling shielded transfers for any assets, with a few second transaction latency and near zero fees.
Visit anoma.net for more information.
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